Marewski, Gaissmaier and Gigerenzer (2009) present a review of research on fast and frugal heuristics, arguing that complex problems are best solved by simple heuristics, rather than the application of knowledge and logical reasoning. We argue that the case for such heuristics is overrated. First, we point out that heuristics can often lead to biases as well as effective responding. Second, we show that the application of logical reasoning can be both necessary and relatively simple. Finally, we argue that the evidence for a logical reasoning system that co-exists with simpler heuristic forms of thinking is overwhelming. Not only is it implausible a priori that we would have evolved such a system that is of no use to us, but extensive evidence from the literature on dual processing in reasoning and judgement shows that many problems can only be solved when this form of reasoning is used to inhibit and override heuristic thinking.
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http://dx.doi.org/10.1007/s10339-009-0339-y | DOI Listing |
Alzheimers Dement
December 2024
University of São Paulo, São Paulo, Brazil.
Background: This study investigated the effects of cognitive stimulation on older adults over 18 months through a randomized clinical trial with 190 participants divided into Training Group (TG), Active Control Group (ACG), and Passive Control Group (PCG). Initial sociodemographic characterization (Table 1) ensured homogeneity among the groups. The clinical trial design aimed to assess the long-term impacts of multicompartment cognitive stimulation on the cognitive function of older adults in the TG.
View Article and Find Full Text PDFPurpose: Chat Generative Pre-Trained Transformer (ChatGPT) may have implications as a novel educational resource. There are differences in opinion on the best resource for the Orthopaedic In-Training Exam (OITE) as information changes from year to year. This study assesses ChatGPT's performance on the OITE for use as a potential study resource for residents.
View Article and Find Full Text PDFSci Rep
January 2025
Dr. D. Y. Patil Vidyapeeth, Pune, Dr. D. Y. Patil School of Science & Technology, Tathawade, Pune, India.
Smart wearable devices detection and recording of people's everyday activities is critical for health monitoring, helping persons with disabilities, and providing care for the elderly. Most of the research that is being conducted uses a machine learning-based methodology; however, these approaches frequently have issues with high computing resource consumption, burdensome training data gathering, and restricted scalability across many contexts. This research suggests a behaviour detection technology based on multi-source sensing and logical reasoning to address these problems.
View Article and Find Full Text PDFAnim Cogn
January 2025
School of Psychology and Neuroscience, University of St. Andrews, St. Andrews, KY16 9AJ, UK.
Chimpanzees excel at inference tasks which require that they search for a single food item from partial information. Yet, when presented with 2-item tasks which test the same inference operation, chimpanzees show a consistent breakdown in performance. Here we test a diverse zoo-housed cohort (n = 24) comprising all 4 great ape species under the classic 4-cup 2-item task, previously administered to children and chimpanzees, and a modified task administered to baboons.
View Article and Find Full Text PDFZhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi
December 2024
National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
To accurately identify occupational health and safety hazards in different industries with distinct characteristics, a comprehensive occupational ergonomics assessment scale was developed by integrating the Rapid Upper Limb Assessment (RULA) evaluation framework, the Rapid Entire Body Assessment (REBA) and the Ovako Working Posture Analysing System (OWAS) . Between May 2023 and May 2024, based on the proportional reasoning method and segmented function method, the algorithm logic of RULA and REBA was aligned, and the evaluation rules for the revision content of the innovation scale were inferred using the method of proportion reasoning. Twenty postures were randomly selected for correlation verification.
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